PerSpectron: Detecting Invariant Footprints of Microarchitectural Attacks with Perceptron

Detecting microarchitectural attacks is critical given their proliferation in recent years. Many of these attacks exhibit intrinsic behaviors essential to the nature of their operation, such as creating contention or misspeculation. This study systematically investigates the microarchitectural...

UGen: An Agentic Framework for Generating Microarchitectural Attack PoCs

Microarchitectural attacks continue to evolve, uncovering new exploitation vectors in modern processors. From a defensive perspective, assessing a system's susceptibility to such attacks remains challenging. Developing functional attack implementations is labor-intensive, requires deep...

Microarchitectural Attacks on the Stack Engine

Summary Researchers from ETH Zurich have published a paper titled “One Flew over the Stack Engine’s Nest: Practical Microarchitectural Attacks on the Stack Engine.” AMD continues to recommend software developers employ existing best practices including constant time algorithm and avoid...

Valkyrie: a Response Framework to Augment Runtime Detection of Time-Progressive Attacks

A popular approach to detect cyberattacks is to monitor systems in real-time to identify malicious activities as they occur. While these solutions aim to detect threats early, minimizing damage, they suffer from a significant challenge due to the presence of false positives. False positives have ...